Join Amazon's Selling Partner Identity Verification team, a critical component of our marketplace security infrastructure. We engineer complex distributed systems to ensure compliance and seller authenticity, processing over 1.5 million requests weekly. Our focus is on building scalable identity verification and fraud prevention mechanisms.

The Seller Registration domain manages seller verification and onboarding globally. Our engineering efforts center on creating streamlined, distributed registration systems, implementing robust real-time identity verification, and developing advanced automation frameworks for accuracy and horizontal scaling. We handle intricate state management across regions with strict security and data consistency.

We are enhancing our architecture to simplify global onboarding by developing stateless microservices, event-driven communication, and scalable multi-region data models.

Design and implement globally distributed systems emphasizing scalability and reliability. Ensure cross-regional data consistency and manage distributed transactions. Develop fault-tolerant systems for high availability across multiple regions. Architect and build high-throughput, low-latency microservices. Implement event-driven architectures and asynchronous processing patterns. Maintain sophisticated identity verification services. Work with modern tech stacks including cloud-native architectures and distributed databases. Contribute to modern DevOps practices and CI/CD pipelines for large-scale systems. Participate in an engineering culture that values technical excellence, innovation, and iterative development.

A minimum of 3 years of professional software development experience, excluding internships. At least 2 years of experience in designing or architecting new and existing systems, focusing on reliability and scaling. Proven expertise in building high-throughput, low-latency services and understanding cloud-native architectures. Strong background in security protocols and identity management systems. Experience with event-driven architectures and asynchronous processing patterns. Familiarity with modern DevOps practices and CI/CD pipelines. A Bachelor's degree in Computer Science or a related field is preferred.